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为满足距离反比加权(IDW)插值方法在矿石品位估值中的应用,对IDW方法进行了改进.通过地质统计学中的变异函数理论分析钻孔样品数据中元素品位的空间变异性,根据矿体形态计算矿体走向、倾向和厚度3个相互垂直方向的定向变异函数,进而使用3个方向和相应变异函数的变程值确定搜索椭球体的参数.采用八分圆空间分区搜索方法对每个八分扇区内参与插值的样品个数加以限制,从而减少样品数据聚类效应;根据钻孔勘探网度,将空间搜索范围以及钻孔工程数与储量等级进行对应,实现矿石资源级别分类.通过C++语言在HOOPS三维可视化平台编程实现了该方法和计算结果的可视化,以某铜矿实例说明该方法的具体步骤.结果表明该方法简单有效,能够得到很好的估值结果.
IDW method is improved to meet the application of IDW interpolation method in ore grade estimation.The spatial variability of elemental grade in borehole sample data is analyzed by the theory of variation function in geostatistics, Body shape, the directional variation function of the direction, the orientation and the thickness of the ore body is calculated, and then the parameters of the search ellipsoid are determined by using the three directions and the corresponding variation function of the variogram.Using octant-space partition method The number of samples involved in the interpolation in the eight-octet sector is limited, so as to reduce the clustering effect of the sample data. According to the drilling exploration network, the space search scope and the number of drilling projects are corresponded with the reserve levels to realize the ore resource classification The visualization of this method and calculation results is realized by C ++ programming in HOOPS 3D visualization platform, and the specific steps of this method are illustrated with a copper mine example.The results show that the method is simple and effective and can get good estimation results.